Junhong Lin

1.2k total citations
50 papers, 705 citations indexed

About

Junhong Lin is a scholar working on Computational Mechanics, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Junhong Lin has authored 50 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computational Mechanics, 10 papers in Artificial Intelligence and 9 papers in Biomedical Engineering. Recurrent topics in Junhong Lin's work include Sparse and Compressive Sensing Techniques (20 papers), Mollusks and Parasites Studies (7 papers) and Stochastic Gradient Optimization Techniques (7 papers). Junhong Lin is often cited by papers focused on Sparse and Compressive Sensing Techniques (20 papers), Mollusks and Parasites Studies (7 papers) and Stochastic Gradient Optimization Techniques (7 papers). Junhong Lin collaborates with scholars based in China, United States and Hong Kong. Junhong Lin's co-authors include Yih‐Ho Pao, Song Li, Ding‐Xuan Zhou, Lorenzo Rosasco, Volkan Cevher, Yi Shen, Yun‐Chan Hwang, Alessandro Rudi, Song Li and John C. Burnett and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Junhong Lin

45 papers receiving 672 citations

Peers

Junhong Lin
Valérie Perrier France
D. Blacknell United Kingdom
David Brie France
Frédéric Champagnat France
Zegang Ding China
Yinghui Quan China
Andreas Brenner Germany
Johnathan M. Bardsley United States
Mingliang Tao China
Étienne Mémin France
Valérie Perrier France
Junhong Lin
Citations per year, relative to Junhong Lin Junhong Lin (= 1×) peers Valérie Perrier

Countries citing papers authored by Junhong Lin

Since Specialization
Citations

This map shows the geographic impact of Junhong Lin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Junhong Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junhong Lin more than expected).

Fields of papers citing papers by Junhong Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Junhong Lin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Junhong Lin. The network helps show where Junhong Lin may publish in the future.

Co-authorship network of co-authors of Junhong Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Junhong Lin. A scholar is included among the top collaborators of Junhong Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Junhong Lin. Junhong Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lin, Junhong, et al.. (2024). High probability bounds on AdaGrad for constrained weakly convex optimization. Journal of Complexity. 86. 101889–101889.
2.
Li, Song, et al.. (2024). Convergence of projected subgradient method with sparse or low-rank constraints. Advances in Computational Mathematics. 50(4).
3.
Lin, Kaiwen, Dong Xie, Junhong Lin, et al.. (2024). Electrochromic conjugated polymers: The relationship of gradient band gap and electrochromic performance. Dyes and Pigments. 232. 112504–112504. 8 indexed citations
4.
Lin, Junhong, et al.. (2024). Enhanced object detection in pediatric bronchoscopy images using YOLO-based algorithms with CBAM attention mechanism. Heliyon. 10(12). e32678–e32678. 14 indexed citations
5.
Chen, Siyu, Deepayan Kar, Jeffrey D. Messinger, et al.. (2023). Ultrahigh Resolution OCT Markers of Normal Aging and Early Age-related Macular Degeneration. SHILAP Revista de lepidopterología. 3(3). 100277–100277. 19 indexed citations
6.
Chen, Siyu, Benjamin Potsaid, Yan Li, et al.. (2022). High speed, long range, deep penetration swept source OCT for structural and angiographic imaging of the anterior eye. Scientific Reports. 12(1). 992–992. 30 indexed citations
7.
Lin, Junhong & Volkan Cevher. (2020). Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random Projections. Journal of Machine Learning Research. 21(20). 1–44. 5 indexed citations
8.
Li, Song, et al.. (2020). Iterative hard thresholding for compressed data separation. Journal of Complexity. 59. 101469–101469. 7 indexed citations
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De, Sandip, et al.. (2019). Chemical machine learning with kernels: The impact of loss functions. International Journal of Quantum Chemistry. 119(9). 1 indexed citations
11.
Lin, Junhong & Volkan Cevher. (2018). Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3092–3101. 7 indexed citations
12.
Lin, Junhong, Alessandro Rudi, Lorenzo Rosasco, & Volkan Cevher. (2018). Optimal rates for spectral algorithms with least-squares regression over Hilbert spaces. Applied and Computational Harmonic Analysis. 48(3). 868–890. 21 indexed citations
13.
Lin, Junhong & Lorenzo Rosasco. (2018). Generalization properties of doubly stochastic learning algorithms. Journal of Complexity. 47. 42–61. 5 indexed citations
14.
Lin, Junhong & Lorenzo Rosasco. (2017). Optimal Rates for Multi-pass Stochastic Gradient Methods. Journal of Machine Learning Research. 18(97). 1–47. 11 indexed citations
15.
Lin, Junhong, et al.. (2016). Generalization properties and implicit regularization for multiple passes SGM. CINECA IRIS Institutial Research Information System (University of Genoa). 2340–2348. 17 indexed citations
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Lin, Junhong & Ding‐Xuan Zhou. (2015). Learning theory of randomized Kaczmarz algorithm. Journal of Machine Learning Research. 16(1). 3341–3365. 14 indexed citations
19.
Lin, Junhong & Song Li. (2013). Sparse recovery with coherent tight frames via analysis Dantzig selector and analysis LASSO. Applied and Computational Harmonic Analysis. 37(1). 126–139. 29 indexed citations
20.
Lin, Junhong & Song Li. (2012). Nonuniform support recovery from noisy random measurements by Orthogonal Matching Pursuit. Journal of Approximation Theory. 165(1). 20–40. 14 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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